Gas Measurement Data Synchronization via Time Tagging
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Solution Overview
Problem
Existing monitoring systems face challenges in accurately analyzing and correlating historical and current data from mobile and stationary gas measuring devices, particularly when different types of devices with varying data transmission methods are used together.
Innovation Solution
A system that includes a mobile gas measuring device and a data processing unit, where the system adds specific identifiers, including system time and gas measuring device time, to the data transmitted from the gas measuring device, ensuring correct chronological ordering and synchronization of historical and current data.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Area of stationary object
If both mobile and stationary gas measuring devices with different data transmission methods are used together, then the spatial coverage and data quantity are improved, but the difficulty of correlating and synchronizing historical and current data increases
Solution Approach 1:
The system adds time stamps to data packets before transmission, recording the exact time when measurements were taken. This preliminary action of time tagging enables subsequent chronological sorting and correlation of data from multiple devices without requiring complex real-time synchronization protocols.
Solution Approach 2:
A central data processing unit serves as an intermediary that receives data from both mobile and stationary devices, standardizes the data format with unified time references, and correlates historical and current data. This intermediary component manages the complexity of integrating data from heterogeneous sources.
2Quantity of substance
If data are transmitted from different devices to a central memory, then the data quantity and analysis capability are improved, but the risk of taking individual data sets multiple times increases
Solution Approach 1:
Unique identifiers and time stamps are added to each data packet before transmission to the central memory. This preliminary tagging enables the system to track and identify duplicate data sets during processing, allowing for their detection and exclusion to maintain data accuracy.
Solution Approach 2:
The data processing unit implements a feedback mechanism that checks incoming data against previously processed data using time stamps and identifiers. When duplicates are detected, the system provides feedback to exclude them from further analysis, ensuring reliable data processing.
3Measurement precision
If historical data and current data are processed together, then the analysis accuracy and spatial resolution are improved, but the processing time and computational load increase
Solution Approach 1:
The data processing system segments historical and current data into separate processing streams using time-based filtering. This allows for efficient handling of different data types while maintaining their chronological relationships, reducing overall processing time compared to treating all data uniformly.
Solution Approach 2:
Time stamps are added to data packets in advance, enabling the processing unit to quickly sort and organize historical and current data without requiring complex real-time analysis. This preliminary time tagging significantly reduces computational load during data correlation.
Data Source
AI summary
A data analysis system includes a gas measuring device (2), providing current data and/or historical data, which are stored in a memory (3), and a data processing unit (1). The data includes information on a gas measuring device time of data acquisition. The device transmits data to an interface configured to receive the data and to feed data to the data processing unit and/or to an additional memory (5). A data identification unit (6) is configured to add a specific identifier to the data and add a piece of information on a system time during the data transmission and/or the gas measuring device time during the data transmission. The data processing unit is configured to process the data provided by the gas measuring device and/or by the additional memory such that the system time and the gas measuring device time are taken into consideration.